Machine Learning Engineer, Quantinuum
AI for Quantum
+ Equity
Quantum computing company
Open for applications
Quantum computing company
201-500 employees
Open for applications
+ Equity
201-500 employees
Company mission
To accelerate quantum computing and use its power to positively transform the world.
Role
Who you are
- Master’s Degree or Ph.D. in Physics, Computer Science, Computational Chemistry, Applied Mathematics, or related engineering field or equivalent experience
- Experience in using deep learning methods, such as large language models, reinforcement learning, as well as other machine learning methods, in a scientific context, and at large scale
- Familiarity with using high performance compute clusters and multi-GPU servers
- Familiarity with the commonly-used ML toolkits, such as PyTorch and TensorFlow
Desirable
- Familiarity with quantum computing concepts, or a related field such as quantum many-body physics
- Experience contributing to open-source software
- Strong background in software engineering, specifically experience in scientific software development
What the job involves
- As a Machine learning Engineer in the AI for Quantum team, you will use state-of-the-art methods, in collaboration with quantum computing scientists, to solve hard problems arising in the full quantum computing stack, such as circuit compilation, searching for error-correcting codes, even identifying quantum advantage by providing the quantum computer as a backend to a tool-using AI system
- Develop software infrastructure to facilitate the application of ML methods to solve problems in the quantum computing stack
- Write code to enable the running and recording of large-scale experiments in improving the quantum computing stack, using existing ML libraries when appropriate
- Run experiments in improving the quantum computing stack
Salary benchmarks
Our take
The processing power of quantum computing (QC) promises to yield substantial advances across dozens of diverse industries, from the development of pharmaceuticals, to the chemical industry and financial services. Billions are being poured into the steady development of these computers, both into the hardware and the specialised software which can harness these devices.
Quantinuum was formed out of the merger of Cambridge Quantum and Honeywell, QC software and hardware firms respectively. These two highly respected companies had independently made quite a stir in the QC space and attracted a high degree of investment, and their merger has created the world's largest integrated QC company, able to build and operate quantum computers at both the hardware and software level.
The organisation has moved fast and has already developed software and hardware for the application of QC in chemistry, natural language processing, machine learning, algorithms, and cybersecurity. All of these are exceedingly lucrative and high-stakes areas of business, and it is leaders in precisely these sectors (Google, for example, and IBM) who are investing so heavily into the QC project.
Quantinuum's software is system agnostic, allowing the advances it makes to be used on other quantum computers as well as its own, opening up major business opportunities. So Quantinuum is working in conjunction with some of the sector’s major players, whilst also pursuing high-value customers and lucrative market opportunities. It’s remarkable work, and impressively funded to match. It will continue substantially impacting the progress of key industries going forward.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 11 rounds)
Dec 2020
$45m
LATE VC
Jul 2020
$5m
EARLY VC
Total funding: $87.2m
Company benefits
- Equity
- A positive approach to flexible working
- Health insurance
- Commuting allowance
- Enhanced holidays
- Incentive schemes
Company HQ
Countryside, Westminster, CO
Articles
Leadership
Rajeeb Hazra
(CEO & President)Was previously a Senior Vice President & General Manager at Micron Technology. Before that was Corporate Vice President & General Manager of Enterprise & Government for Intel.
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